Triple
T15195730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horn of Plenty |
E363133
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Deep Sea Diver
"Deep Sea Diver" is a song by the American indie rock band Deerhunter from their album "Halcyon Digest."
|
E1143233
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Deep Sea Diver | Statement: [Horn of Plenty, hasTrack, Deep Sea Diver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deep Sea Diver Context triple: [Horn of Plenty, hasTrack, Deep Sea Diver]
-
A.
Deep Sea Odyssey
Deep Sea Odyssey is a themed underwater adventure attraction at Chimelong Ocean Kingdom that immerses visitors in a simulated deep-sea exploration experience.
-
B.
The Dive
The Dive is a science fiction film produced by James Cameron’s Lightstorm Entertainment, known for its deep-sea adventure and cutting-edge underwater visual effects.
-
C.
Deep Sea
Deep Sea is an aquarium exhibit showcasing the mysterious life forms and extreme environments found in the ocean’s deepest regions.
-
D.
Dive
"Dive" is a sensual R&B song by American singer-songwriter Victoria Monét, known for its intimate lyrics, lush production, and vocal performance.
-
E.
Dive
Dive is a 1993 studio album by English soprano Sarah Brightman that explores an ocean-themed pop and classical crossover sound.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Deep Sea Diver Triple: [Horn of Plenty, hasTrack, Deep Sea Diver]
Generated description
"Deep Sea Diver" is a song by the American indie rock band Deerhunter from their album "Halcyon Digest."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deep Sea Diver Target entity description: "Deep Sea Diver" is a song by the American indie rock band Deerhunter from their album "Halcyon Digest."
-
A.
Deep Sea Odyssey
Deep Sea Odyssey is a themed underwater adventure attraction at Chimelong Ocean Kingdom that immerses visitors in a simulated deep-sea exploration experience.
-
B.
The Dive
The Dive is a science fiction film produced by James Cameron’s Lightstorm Entertainment, known for its deep-sea adventure and cutting-edge underwater visual effects.
-
C.
Deep Sea
Deep Sea is an aquarium exhibit showcasing the mysterious life forms and extreme environments found in the ocean’s deepest regions.
-
D.
Dive
"Dive" is a sensual R&B song by American singer-songwriter Victoria Monét, known for its intimate lyrics, lush production, and vocal performance.
-
E.
Dive
Dive is a 1993 studio album by English soprano Sarah Brightman that explores an ocean-themed pop and classical crossover sound.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067fcc788190abdc083d4eadeb36 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3324fdc8190b31d4d2fcaffc57a |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed44b2e3c8190aad111e2bc2b56a2 |
completed | May 9, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed547192c8190b89755fff48ca620 |
completed | May 9, 2026, 6:33 a.m. |
Created at: April 10, 2026, 3:10 a.m.